3 major Python shortcomings—and their solutions

While has been around 30 years, only in the last few years has its popularity surged to . On the whole, immense popularity has been great for Python: The language has become a staple for teaching and learning programming, a good place to start with software development, and a valuable part of any technology stack.

Unfortunately, popularity also tends to magnify one’s flaws. Like Python’s virtues, Python’s problems—most notably performance, packaging and application delivery, and project management—are now well-known. They’re not fatal flaws, but they are obstacles to Python adoption that will only become more pronounced with time, as competition rises from other languages like , Nim, , and .

Following are the three main challenges faced by Python programmers, and some of the ways the developers behind Python and third-party Python tools and libraries are working to solve them.

Python multithreading and speed

The problem: Python’s slow overall performance, and its limited threading and multiprocessing capabilities, remain major roadblocks to its future development.